Lifeboat Foundation

There are widely cited forecasts that project accelerating information and communications technology (ICT) energy consumption increases through the 2020’s with a 2018 Nature article estimating that if current trends continue, this will consume more than 20% of electricity demand by 2030. At several industry events I have heard talks that say one of the important limits of data center performance will be the amount of energy consumed. NVIDIA’s latest GPU solutions use 400+W processors and this energy consumption could more than double in future AI processor chips. Solutions that can accelerate important compute functions while consuming less energy will be important to provide more sustainable and economical data centers.

Lightmatter’s Envise chip (shown below) is a general-purpose machine learning accelerator that combines photonics (PIC) and CMOS transistor-based devices (ASIC) into a single compact module. The device uses silicon photonics for high performance AI inference tasks and consumes much less energy than CMOS only solutions and thus helping to reduce the projected power load from data centers.

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Using a brain computer interface, the man cut and ate food with thought-controlled robotic hands. A man paralyzed from the neck down has used two robot arms to cut food and serve himself — a big step in the field of mind-controlled prosthetics.

Robert “Buz” Chmielewski, age 49, has barely been able to move his arms since a surfing accident paralyzed him as a teenager. But in January of 2019, he got renewed hope, when doctors implanted two sets of electrodes in his brain, one in each hemisphere.

The goal was that this brain computer interface would help Chmielewski regain some sensation in his hands, enable him to mentally control two prosthetic arms, and even feel what he is touching. man paralyzed from the neck down has used two robot arms to cut food and serve himself — a big step in the field of mind-controlled prosthetics.

Scientists have been trying to find ways to predict an epileptic seizure for decades, with little success. They are almost always unpredictable. The best techniques we have now — machine learning and self-awareness — give us only minutes notice ahead of the seizure.

Now, for the first time, a study has shown that brain activity could be used to forecast the onset of epileptic seizures several days in advance.

A New Hope

Continue reading “These brain implants can predict an epileptic seizure days in advance” »

With the help of robotics specialists, we can separate the truth from the hype.

Elon Musk has announced his plans for a new Tesla humanoid robot that will excel at “mundane tasks,” but he’s making some common robotics mistakes with his grand plans.

Continue reading “Elon Musk’s Tesla Robots Have a Place Where Humans Would Be in Danger” »

For solutions to problems, artificial intelligence is the future of business.

In social deduction games, groups of players attempt to decipher each others’ hidden roles. They need to observe the other players’ actions to deduce their roles while still hiding their roles. Essentially, to succeed in the game, the player needs to learn about the other agent through various sources while remaining anonymous. This needs players to cooperatively work against the other team.

Hidden Agenda

DeepMind and Harvard’s Hidden Agenda is a social deduction game to train multiple players in two fundamental groups. These teams are ‘Crewmates’ and ‘Imposters’. Crewmates have a numerical advantage with the goal to refuel their ship using energy cells scattered around, and Imposters have an informational advantage with the goal of halting the Crewmates. This means the Crewmates are unaware of the roles of the other players, but the Imposers have this knowledge. An environment is created where each player is randomly assigned a role and colour for their avatar at the start of each episode and initialised to a location on the game map.

Circa 2019

On February 28, at “New National Theater” in Tokyo, Professor Hiroshi Ishiguro of Osaka University announced the new model of the android “Alter” 「オルタ３」. The robot performed a fragment of the “Scary Beauty” android opera by Keiichiro Shibuya.

Continue reading “‘ALTER 3’ robot conducts Android Opera in Japan, exploring the future of human communication” »

The more the enterprise transitions from a mere digital organization to a fully intelligent one, the more data executives will come to realize that traditional monitoring and management of complex systems and processes is not enough.

What’s needed is a new, more expansive form of oversight – which lately has come to be known as “data observability.”

The distinction between observability and monitoring is subtle but significant. As VentureBeat writer John Paul Titlow explained in a recent piece, monitoring allows technicians to view past and current data environments according to predefined metrics or logs. Observability, on the other hand, provides insight into why systems are changing over time, and may detect conditions that have not previously been considered. In short, monitoring tells you what is happening, while observability tells you why it’s happening.

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

Is GPT-3 available for free? The answer is Yes, and it is now available to all.

OpenAI recently ann ounced the expansion of its cloud-based OpenAI API service, which allows developers to create apps based on the research group’s powerful GPT-3 artificial intelligence model. Previously, developers had to sign up for a waitlist, and there was limited capacity.